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mlops-initialization-cn

MLOps project initialization with uv/git/VS Code best practices

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/guohongbin-git/mlops-initialization-cn
Or

MLOps 项目初始化 🚀

Setup new MLOps projects with modern Python toolchain.

Features

1. Project Initialization 📦

Create complete project structure:

./scripts/init-project.sh my-mlops-project

Creates:

  • src/ layout
  • pyproject.toml with uv
  • .gitignore (Python/MLOps)
  • .vscode/settings.json
  • Git repository

2. Configuration Templates 📋

Copy reference configs:

# pyproject.toml template
cp references/pyproject.toml ../your-project/

# VS Code settings
cp references/vscode-settings.json ../your-project/.vscode/

Quick Start

# Initialize new project
./scripts/init-project.sh my-project
cd my-project

# Add dependencies
uv add pandas numpy scikit-learn

# Sync environment
uv sync

# Verify
uv run python -c "import sys; print(sys.executable)"

What You Get

  • src/ package layout
  • ✅ Locked dependencies (uv.lock)
  • ✅ Ruff + MyPy configured
  • ✅ VS Code settings
  • ✅ Git repository

References

  • references/pyproject.toml - Full config example
  • references/vscode-settings.json - IDE settings

Author

Converted from MLOps Coding Course

Changelog

v1.0.0 (2026-02-18)

  • Initial OpenClaw conversion
  • Added init script
  • Added reference configs

Metadata

Stars2387
Views0
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-guohongbin-git-mlops-initialization-cn": {
      "enabled": true,
      "auto_update": true
    }
  }
}
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